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DBMS > Apache Kylin vs. JaguarDB vs. Lovefield vs. Netezza vs. Snowflake

System Properties Comparison Apache Kylin vs. JaguarDB vs. Lovefield vs. Netezza vs. Snowflake

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonJaguarDB  Xexclude from comparisonLovefield  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackPerformant, highly scalable DBMS for AI and IoT applicationsEmbeddable relational database for web apps written in pure JavaScriptData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSKey-value store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score123.20
Rank#9  Overall
#6  Relational DBMS
Websitekylin.apache.orgwww.jaguardb.comgoogle.github.io/­lovefieldwww.ibm.com/­products/­netezzawww.snowflake.com
Technical documentationkylin.apache.org/­docswww.jaguardb.com/­support.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncDataJaguar, Inc.GoogleIBMSnowflake Computing Inc.
Initial release20152015201420002014
Current release3.1.0, July 20203.3 July 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languagesJavaScript
Server operating systemsLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux infoincluded in appliancehosted
Data schemeyesyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language infovia JavaScript builder patternyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptC
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesuser defined functions
TriggersnoUsing read-only observersnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBno
User concepts infoAccess controlrights management via user accountsnoUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache KylinJaguarDBLovefieldNetezza infoAlso called PureData System for Analytics by IBMSnowflake
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